Yingmei Wei

National University of Defense Technology

Papers

Total Citations

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About

Yingmei Wei investigates the intersection of collective intelligence and visual perception, with a focus on enabling adaptive behaviors in unmanned swarms and advancing panoramic imaging for robotic systems. Her 2023 work on "Emergence of Adaptation of Collective Behavior Based on Visual Perception" (19 citations) addresses a critical challenge in IoT-enabled swarms: moving beyond classical velocity- and position-based models to achieve mission-driven adaptability in complex environments. This research has implications for autonomous coordination in search-and-rescue, environmental monitoring, and defense applications. In parallel, her 2019 study on "Robust Cylindrical Panorama Stitching for Low-Texture Scenes" (12 citations) tackles a persistent problem in robot localization and environmental sensing—stitching wide-FOV images without reliable hand-crafted features. By integrating deep learning with iterative optimization, she offers a solution that outperforms traditional methods in texture-poor settings. Together, these contributions demonstrate Wei’s ability to bridge theoretical models with practical deployment challenges, making her work valuable for researchers in swarm robotics, computer vision, and autonomous systems.